Communication mining analytics system

Abstract

Aspects of the present disclosure generally related to one or more systems, methods, and devices for actively monitoring driver communications in order to identify at-risk drivers (e.g., drivers that may be susceptible to quitting). Additionally or alternatively, aspects of the present disclosure may determine whether the fleet operators are satisfactorily communicating and remedying driver behaviors that may lead to an adverse driver event.

What is claimed is: 
     
         1 . A method for wireless communication, comprising:
 monitoring, at a network device, communication between a first device and a second device, wherein the first device is associated with a driver and a second device is associated with a fleet operator;   identifying one or more key terms detected during the communication;   determining a number of instances that the one or more key terms are used in the communication during a time period; and   calculating a driver score value based in part on the determining.   
     
     
         2 . The method of  claim 1 , further comprising triggering a remedial measure for a driver based on the driver score value. 
     
     
         3 . The method of  claim 1 , further comprises:
 calculating a conversation quality score for each communication during the time period; and   calculating the manager score value based on the conversation quality score.   
     
     
         4 . The method of  claim 3 , wherein the calculating the conversation quality score comprises:
 identifying an accident predicted value prior to establishing the communication;   identifying an actual accident score following the communication; and   determining a difference between the accident predicted value and the actual accident score.   
     
     
         5 . The method of  claim 4 , further comprising:
 increasing the conversation quality score if the accident predicted value is greater than the actual accident score; and   decreasing the conversation quality score if the accident predicted value is less than the actual accident score.   
     
     
         6 . The method of  claim 3 , wherein the calculating the conversation quality score comprises:
 identifying a retention prediction value prior to establishing the communication;   identifying an actual retention value following the communication; and   determining a difference between the retention prediction value and the actual retention value.   
     
     
         7 . The method of  claim 6 , further comprising:
 increasing the conversation quality score if the retention prediction value is greater than the actual retention value; and   decreasing the conversation quality score if the retention prediction value is less than the actual retention value.   
     
     
         8 . The method of  claim 1 , further comprising ranking one or more manager in accordance with the manager score value. 
     
     
         9 . An apparatus for wireless communication, comprising:
 a processor; and   a memory, wherein the memory includes instructions executable by the processor to:   monitor, at a network device, communication between a first device and a second device, wherein the first device is associated with a driver and a second device is associated with a fleet operator;   identify one or more key terms detected during the communication;   determine a number of instances that the one or more key terms are used in the communication during a time period; and   calculate a driver score value based in part on the determining.   
     
     
         10 . The apparatus of  claim 9 , wherein the instructions are further executable to trigger a remedial measure for a driver based on the driver score value. 
     
     
         11 . The apparatus of  claim 9 , wherein the instructions are further executable to:
 calculate a conversation quality score for each communication during the time period; and   calculate the manager score value based on the conversation quality score.   
     
     
         12 . The apparatus of  claim 11 , wherein the instructions are further executable to:
 identify an accident predicted value prior to establishing the communication;   identify an actual accident score following the communication; and   determine a difference between the accident predicted value and the actual accident score.   
     
     
         13 . The apparatus of  claim 11 , wherein the instructions are further executable to:
 increase the conversation quality score if the accident predicted value is greater than the actual accident score; and   decrease the conversation quality score if the accident predicted value is less than the actual accident score.   
     
     
         14 . The apparatus of  claim 11 , wherein the instructions are further executable to:
 identify a retention prediction value prior to establishing the communication;   identify an actual retention value following the communication; and   determine a difference between the retention prediction value and the actual retention value.   
     
     
         15 . The apparatus of  claim 14 , wherein the instructions are further executable to:
 increase the conversation quality score if the retention prediction value is greater than the actual retention value; and   decrease the conversation quality score if the retention prediction value is less than the actual retention value.   
     
     
         16 . The apparatus of  claim 9 , wherein the instructions are further executable to rank one or more manager in accordance with the manager score value. 
     
     
         17 . A computer-readable medium for wireless communication, comprising code for:
 monitoring, at a network device, communication between a first device and a second device, wherein the first device is associated with a driver and a second device is associated with a fleet operator;   identifying one or more key terms detected during the communication;   determining a number of instances that the one or more key terms are used in the communication during a time period; and   calculating a driver score value based in part on the determining.   
     
     
         18 . The computer-readable medium of  claim 17 , wherein the code further comprises triggering a remedial measure for a driver based on the driver score value. 
     
     
         19 . The computer-readable medium of  claim 17 , wherein the code further comprises:
 calculating a conversation quality score for each communication during the time period; and   calculating the manager score value based on the conversation quality score.   
     
     
         20 . The computer-readable medium of  claim 19 , wherein calculating the conversation quality score further comprises code for:
 identifying an accident predicted value prior to establishing the communication;   identifying an actual accident score following the communication; and   determining a difference between the accident predicted value and the actual accident score.